Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0011854 (type 1 diabetes)
 20,749 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Arginine vasopressin (AVP) hypersecretion in response to metoclopramide or to insulin-induced hypoglycaemia has been described in type I diabetes mellitus. In the present study, we examined whether residual endogenous insulin secretion may play a role in the control of this abnormal AVP secretory pattern. For this purpose, 21 insulin-dependent diabetic men and 10 age- and weight-matched normal men were tested with MCP (20 mg in an i.v. bolus). On a different occasion, subjects were tested with insulin (0.15 IU kg-1). The diabetic patients were subdivided into C-peptide negative patients (CpN, 11 patients without detectable endogenous pancreatic beta cell activity) (group I) and C-peptide positive patients (CpP, 10 patients with residual endogenous insulin secretion) (group II). Experiments started after optimization of the metabolic status of the diabetic men by 3 days of treatment with continuous subcutaneous insulin infusion. The basal concentrations of AVP were similar in all groups. The administration of MCP induced a striking elevation in plasma AVP levels in the normal controls and in the diabetic subjects of groups I and II. However, the AVP rise was significantly higher in group I and group II than in normal controls. Furthermore, group I diabetics showed higher AVP increments than group II. Insulin induced a similar hypoglycaemic nadir in all subjects at 30 min, even though the diabetic subjects of groups I and II had a delayed recovery in blood glucose levels. The hypoglycaemic pattern was similar in group I and II. Hypoglycaemia induced a striking AVP increase in the normal controls.(ABSTRACT TRUNCATED AT 400 WORDS)
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PMID:Influence of residual C-peptide secretion on the arginine vasopressin response to hypoglycaemia and metoclopramide in insulin-dependent diabetes. 758 12

Prolactin (PRL) is well known for its stimulatory effects on various components of the immune response. Experimentally induced high levels of PRL have been shown to correlate with the worsening of several autoimmune diseases. In contrast, lowering PRL levels may protect from the autoimmune process. We investigated in both sexes of NOD mice a spontaneous model of autoimmune type 1 diabetes, the effects of two drugs, a dopaminergic agonist, bromocriptine (BRC, 10 mg/kg), which is assumed to inhibit PRL secretion, and a dopaminergic antagonist, metoclopramide (MCP, 5 mg/kg), which in contrast stimulates PRL secretion, on the incidence of diabetes, the severity of insulitis, and PRL and glucose levels. Chronic treatment of NOD mice with MCP slightly aggravated development of diabetes. The dopamine antagonist tended to accelerate the onset of diabetes in females and significantly increased the number of islets with peri-insulitis in both sexes. The weak deleterious effects exerted by MCP in NOD mice may be related to its stimulatory action on PRL release. Contrary to the expected results, the dopamine agonist BRC did not protect from autoimmune diabetes. In contrast, the drug appeared to accelerate diabetes onset in males and significantly increased the number of islets showing insulitis in both sexes. This study underlines the complexity of the action of BRC which in NOD mice only transiently inhibits the release of PRL. Moreover, the aggravating actions of BRC may be related to the marked hyperglycemic effect of the drug observed in male and female NOD mice.
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PMID:Attempts to pharmacologically modulate prolactin levels and type 1 autoimmune diabetes in the non-obese diabetic (NOD) mouse. 882 12

We investigated the expression of Th1- and Th2-associated chemokine receptors on peripheral blood lymphocytes at diagnosis and in the first phase of type 1 diabetes. Peripheral blood mononuclear cells (PBMCs) of 25 patients with newly diagnosed type 1 diabetes, 10 patients with longstanding type 1 diabetes, and 35 healthy control subjects were examined for expression of the chemokine receptors CXCR4 (naive T-cells), CCR5 and CXCR3 (Th1 associated), and CCR3 and CCR4 (Th2 associated) on CD3+ lymphocytes. Furthermore, we analyzed chemokine serum levels (monocyte chemoattractant protein [MCP]-1, macrophage inflammatory protein [MIP]-1alpha, MIP-1beta, and RANTES [regulated on activation, normal T-cell expressed and secreted]) and phytohemagglutinin (PHA)-stimulated cytokine secretion of Th1- (gamma-interferon [IFN-gamma] and tumor necrosis factor-alpha [TNF-alpha]) and Th2 (interleukin [IL]-4 and -10)-associated cytokines by PBMC. The patients with newly diagnosed type 1 diabetes were followed for these parameters at 6-12 months after diagnosis. The PBMCs of patients with newly diagnosed but not with longstanding type 1 diabetes showed reduced expression of the Th1-associated chemokine receptors CCR5 (P < 0.001 vs. control subjects) and CXCR3 (P < 0.002 vs. control subjects). This reduction correlated with reduced IFN-gamma and TNF-alpha production of PBMCs after PHA stimulation and reversed 6-12 months after diagnosis to normal levels. CCR4 cells were reduced in both newly diagnosed and longstanding type 1 diabetic patients, which correlated to reduced PHA-stimulated IL-4 production. MIP-1alpha and MIP-1beta levels were considerably elevated in a subgroup of patients with newly diagnosed diabetes. We assume that Th1-associated peripheral T-cells are reduced in a narrow time window at the time of diagnosis of diabetes, possibly due to extravasation in the inflamed pancreas. Thus, chemokine receptor expression of peripheral blood lymphocytes may be a useful surrogate marker for the immune activity of type 1 diabetes (e.g., in intervention trials).
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PMID:Reduced expression of Th1-associated chemokine receptors on peripheral blood lymphocytes at diagnosis of type 1 diabetes. 1214 60

Penalized Multiple Regression (PMR) can be used to discover novel disease associations in GWAS datasets. In practice, proposed PMR methods have not been able to identify well-supported associations in GWAS that are undetectable by standard association tests and thus these methods are not widely applied. Here, we present a combined algorithmic and heuristic framework for PUMA (Penalized Unified Multiple-locus Association) analysis that solves the problems of previously proposed methods including computational speed, poor performance on genome-scale simulated data, and identification of too many associations for real data to be biologically plausible. The framework includes a new minorize-maximization (MM) algorithm for generalized linear models (GLM) combined with heuristic model selection and testing methods for identification of robust associations. The PUMA framework implements the penalized maximum likelihood penalties previously proposed for GWAS analysis (i.e. Lasso, Adaptive Lasso, NEG, MCP), as well as a penalty that has not been previously applied to GWAS (i.e. LOG). Using simulations that closely mirror real GWAS data, we show that our framework has high performance and reliably increases power to detect weak associations, while existing PMR methods can perform worse than single marker testing in overall performance. To demonstrate the empirical value of PUMA, we analyzed GWAS data for type 1 diabetes, Crohns's disease, and rheumatoid arthritis, three autoimmune diseases from the original Wellcome Trust Case Control Consortium. Our analysis replicates known associations for these diseases and we discover novel etiologically relevant susceptibility loci that are invisible to standard single marker tests, including six novel associations implicating genes involved in pancreatic function, insulin pathways and immune-cell function in type 1 diabetes; three novel associations implicating genes in pro- and anti-inflammatory pathways in Crohn's disease; and one novel association implicating a gene involved in apoptosis pathways in rheumatoid arthritis. We provide software for applying our PUMA analysis framework.
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PMID:PUMA: a unified framework for penalized multiple regression analysis of GWAS data. 2382 36